Speed up MsSQL query

Question

I have a very huge database, 3k+ rows

It takes 4 whole seconds to load the page, with 2 big querys How to speed it up?

First:

SELECT Description
FROM ComputerIdentity JOIN
     MakeModelIdentity 
     ON ComputerIdentity.MakeModelID = MakeModelIdentity.ID
WHERE MakeModelIdentity.DeviceName='Laptop' AND
      ComputerIdentity.Description LIKE '%uitleen%' AND
      MakeModelIdentity.DeviceName = 'Laptop' AND
      MakeModelIdentity.Model = 'Chromebook' 
ORDER BY ComputerIdentity.ID ASC

Second:

SELECT Inlognaam,VolledigeNaam FROM PersoneelEnLeerlingen

Answer 1

For this query (which I've "simplified" using table aliases and removing the redundant WHERE condition):

SELECT ci.Description
FROM ComputerIdentity ci JOIN
     MakeModelIdentity mmi
     ON ci.MakeModelID = mmi.ID
WHERE mmi.DeviceName = 'Laptop' AND
      ci.Description LIKE '%uitleen%' AND
      mmi.Model = 'Chromebook' 
ORDER BY ci.ID ASC;

You can speed the query with indexes on MakeModelIdentity(DeviceName, Model, ID) and ComputerIdentity(MakeModelID, Description, ID) .

The second query is really simple and the speed only depends on the size of the data.

Answer 2

3K rows is miniscule, SQL Server Engine doesn't need your help to optimize it. Still here are some suggestions from the book of optimization. For First :

SELECT ci.Description
FROM ComputerIdentity ci JOIN
     MakeModelIdentity mmi
     ON ci.MakeModelID = mmi.ID
WHERE mmi.DeviceName = 'Laptop'  AND
      mmi.Model = 'Chromebook' AND
      ci.Description LIKE '%uitleen%' --reordered
ORDER BY ci.ID ASC;

1. Make sure your IDs are integer
2. Create clustered indexes on ComputerIdentity.MakeModelID and MakeModelIdentity.ID, in case you can make them primary key, that would be the best. Create a non-clustered index on Description, Device Name and Model
3. If you can remove '%' operator try to that. '%' operator in front is very costly, by which I mean '%uitleen%' is slower than 'uitleen%'. If you can remove like operator, that would be great.

For Second: Create non-clustered indexes on the columns you are selecting, which doesn't have a clustered index